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ims
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rm
,
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n
d
g
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ter
Pro
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m
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f
Art
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I
nte
llig
ence
Ar
tific
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in
tellig
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(
AI
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h
as
em
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g
ed
as
o
n
e
o
f
th
e
m
o
s
t
tr
an
s
f
o
r
m
ativ
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o
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s
in
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cien
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tech
n
o
lo
g
y
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a
n
d
i
n
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u
s
tr
y
.
Fro
m
h
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lth
ca
r
e
an
d
en
v
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o
n
m
e
n
tal
m
o
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ito
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ity
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ca
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o
s
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lin
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r
e
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ly
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n
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k
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e
d
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to
a
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r
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s
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tell
,
Vo
l.
15
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
6
:
1
0
1
9
-
1
022
1020
p
r
ac
titi
o
n
er
s
,
an
d
p
o
licy
m
ak
er
s
in
v
o
lv
e
d
in
AI
in
n
o
v
atio
n
,
wh
ile
also
d
r
awin
g
atten
t
io
n
to
t
h
e
b
r
o
ad
er
s
o
cieta
l,
ec
o
n
o
m
ic,
a
n
d
eth
ica
l c
o
n
s
id
er
atio
n
s
th
at
co
m
e
with
th
e
d
e
p
lo
y
m
e
n
t o
f
AI
tech
n
o
lo
g
ies.
AI
is
n
o
lo
n
g
er
lim
ited
to
i
s
o
lated
ap
p
licatio
n
s
o
r
th
eo
r
etica
l
m
o
d
els;
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h
as
b
ec
o
m
e
d
ee
p
ly
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teg
r
ated
in
t
o
s
o
ciety
'
s
d
ig
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f
r
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ctu
r
e,
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lu
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m
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k
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g
,
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al
ef
f
icien
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y
,
an
d
h
u
m
an
-
c
o
m
p
u
ter
in
ter
ac
ti
o
n
.
AI
s
y
s
tem
s
ar
e
b
ec
o
m
in
g
i
n
cr
ea
s
in
g
ly
ca
p
ab
le
o
f
s
o
l
v
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g
h
i
g
h
ly
co
m
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le
x
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r
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lem
s
i
n
r
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l
tim
e,
o
f
ten
o
u
tp
e
r
f
o
r
m
in
g
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ad
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al
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r
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th
an
k
s
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a
d
v
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ce
s
in
c
o
m
p
u
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p
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th
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ee
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m
eth
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o
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p
ab
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en
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m
p
ass
s
tr
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ctu
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n
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ata,
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ts
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d
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am
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n
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en
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r
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p
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r
s
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Fu
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th
e
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ize,
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ig
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ess
in
g
g
lo
b
al
c
h
allen
g
es,
in
cr
ea
s
e
h
u
m
an
p
r
o
d
u
ctiv
ity
,
an
d
tr
a
n
s
f
o
r
m
h
o
w
w
e
in
ter
ac
t
with
th
e
d
ig
ital a
n
d
p
h
y
s
ical
wo
r
ld
s
.
AI in H
ea
lt
hca
re
:
F
ro
m
Dia
g
no
s
t
ics t
o
P
er
s
o
na
lized
Ca
re
Hea
lth
ca
r
e
r
em
ain
s
o
n
e
o
f
th
e
m
o
s
t
s
ig
n
if
ican
t
d
o
m
ain
s
f
o
r
AI
ap
p
licatio
n
s
.
T
h
e
c
o
m
b
i
n
atio
n
o
f
m
ac
h
in
e
lear
n
i
n
g
,
d
ee
p
lea
r
n
i
n
g
,
an
d
ex
p
lain
ab
le
AI
h
as
tr
an
s
f
o
r
m
ed
d
iag
n
o
s
tics
,
p
r
ed
ic
tiv
e
m
o
d
ellin
g
,
an
d
p
er
s
o
n
alis
ed
p
atien
t
ca
r
e.
Mo
d
er
n
AI
s
y
s
tem
s
ca
n
an
aly
s
e
co
m
p
lex
b
io
m
ed
ical
d
ata,
m
ed
ical
im
ag
es,
an
d
elec
tr
o
n
ic
h
ea
lth
r
ec
o
r
d
s
(
E
H
R
s
)
to
d
etec
t
s
u
b
tle
p
atter
n
s
an
d
co
r
r
elatio
n
s
th
at
h
u
m
a
n
ex
p
er
ts
m
ay
m
is
s
,
r
esu
ltin
g
in
ea
r
lier
,
m
o
r
e
ac
c
u
r
ate,
an
d
p
o
ten
tially
life
s
av
in
g
d
iag
n
o
s
es.
T
h
ese
ca
p
ab
ilit
ies
n
o
t
o
n
ly
im
p
r
o
v
e
clin
ical
o
u
tco
m
es,
b
u
t a
ls
o
h
el
p
to
o
p
tim
is
e
wo
r
k
f
lo
w
ef
f
icien
cy
,
r
ed
u
ce
h
u
m
a
n
er
r
o
r
,
an
d
p
r
io
r
itis
e
r
eso
u
r
ce
s
in
in
cr
ea
s
in
g
ly
c
o
m
p
lex
h
ea
lth
ca
r
e
en
v
i
r
o
n
m
e
n
ts
.
Fo
r
ex
am
p
le,
a
p
p
ly
in
g
c
o
n
v
o
lu
tio
n
al
n
e
u
r
al
n
etwo
r
k
s
(
C
NNs)
to
co
l
p
o
s
co
p
y
im
ag
es
allo
ws
f
o
r
au
to
m
ated
ea
r
l
y
d
etec
tio
n
o
f
ce
r
v
ical
ca
n
ce
r
,
in
cr
ea
s
in
g
s
cr
ee
n
in
g
ef
f
icien
c
y
wh
ile
r
e
d
u
cin
g
r
elian
ce
o
n
s
p
ec
ialis
t
av
ailab
ili
ty
.
Similar
ly
,
h
y
b
r
i
d
AI
m
o
d
els
th
at
co
m
b
in
e
en
s
em
b
le
lear
n
in
g
an
d
Sh
ap
ley
ad
d
itiv
e
ex
p
lan
atio
n
s
(
SHAP)
im
p
r
o
v
e
ca
r
d
i
o
v
ascu
lar
r
is
k
p
r
e
d
i
ctio
n
in
h
ea
r
t
f
ailu
r
e
p
atien
ts
,
b
alan
cin
g
h
ig
h
p
r
ed
ictiv
e
ac
cu
r
ac
y
with
in
ter
p
r
etab
ilit
y
,
wh
ich
is
cr
itical
f
o
r
clin
ical
ad
o
p
tio
n
.
Su
ch
e
x
p
la
in
ab
le
m
o
d
els
h
elp
clin
ician
s
u
n
d
er
s
tan
d
an
d
tr
u
s
t
AI
-
g
en
e
r
ated
r
ec
o
m
m
en
d
atio
n
s
,
allo
win
g
th
em
t
o
m
ak
e
i
n
f
o
r
m
e
d
d
ec
is
io
n
s
wh
ile
m
ain
tain
in
g
ac
co
u
n
tab
ilit
y
an
d
p
atien
t
s
af
ety
.
Oth
er
ap
p
licatio
n
s
in
clu
d
e
AI
-
d
r
iv
en
b
r
ai
n
tu
m
o
u
r
s
eg
m
en
tatio
n
a
n
d
class
if
icatio
n
,
wh
ich
co
m
b
in
es
d
ee
p
lear
n
in
g
with
ad
v
a
n
ce
d
o
p
tim
is
atio
n
alg
o
r
ith
m
s
to
aid
in
p
r
ec
is
e
tr
ea
tm
en
t p
la
n
n
in
g
an
d
p
r
o
g
n
o
s
is
.
B
ey
o
n
d
d
iag
n
o
s
tics
,
AI
en
ab
les
co
n
tin
u
o
u
s
p
atien
t
m
o
n
ito
r
in
g
,
p
r
e
d
ictiv
e
an
aly
ti
cs,
an
d
p
er
s
o
n
alis
ed
tr
ea
tm
en
t
p
la
n
n
in
g
.
R
ea
l
-
tim
e
m
o
n
ito
r
in
g
o
f
p
h
y
s
io
lo
g
ical
s
ig
n
als,
s
u
ch
as
elec
tr
o
d
er
m
al
ac
tiv
ity
(
E
DA)
a
n
d
h
ea
r
t
r
ate
v
ar
iab
ilit
y
(
HR
V)
,
allo
ws
f
o
r
p
r
ec
is
e
ass
ess
m
en
t
o
f
m
en
t
al
wo
r
k
lo
a
d
,
s
tr
ess
lev
els,
an
d
co
g
n
itiv
e
s
tate,
esp
ec
ially
in
d
em
an
d
in
g
s
itu
atio
n
s
lik
e
esp
o
r
ts
p
er
f
o
r
m
an
ce
,
r
eh
ab
ilit
atio
n
p
r
o
g
r
a
m
s
,
o
r
m
en
tal
h
ea
lth
in
ter
v
en
tio
n
s
.
AI
in
teg
r
atio
n
wi
th
wea
r
ab
le
s
en
s
o
r
s
an
d
I
n
ter
n
et
o
f
T
h
in
g
s
(
I
o
T
)
d
ev
ices
en
ab
les
s
ea
m
less
,
n
o
n
-
in
tr
u
s
iv
e
p
atien
t
o
b
s
er
v
ati
o
n
,
allo
win
g
f
o
r
tim
ely
i
n
ter
v
en
tio
n
s
,
ad
ap
tiv
e
th
er
ap
y
,
a
n
d
d
y
n
am
ic
r
is
k
m
a
n
ag
em
en
t,
all
o
f
wh
ich
ca
n
r
e
d
u
ce
h
o
s
p
ital r
ea
d
m
is
s
io
n
s
an
d
im
p
r
o
v
e
lo
n
g
-
ter
m
p
atien
t o
u
tco
m
es.
AI
'
s
p
o
ten
tial
in
h
ea
lth
ca
r
e
is
ex
p
an
d
e
d
f
u
r
th
er
b
y
n
at
u
r
al
lan
g
u
a
g
e
p
r
o
ce
s
s
in
g
(
NL
P)
an
d
r
etr
iev
al
-
au
g
m
e
n
ted
g
en
er
atio
n
f
r
a
m
ewo
r
k
s
.
I
n
tellig
en
t
v
ir
t
u
al
ass
is
tan
ts
an
d
ar
tific
ial
in
t
ellig
en
ce
-
en
h
an
ce
d
m
ed
ical
k
n
o
wled
g
e
s
y
s
tem
s
ac
ce
ler
ate
ac
ce
s
s
to
ev
id
en
ce
-
b
ased
in
f
o
r
m
atio
n
,
im
p
r
o
v
in
g
clin
ical
d
ec
is
io
n
s
u
p
p
o
r
t,
m
e
d
ical
r
esear
ch
,
a
n
d
p
atien
t
ed
u
ca
tio
n
.
W
h
en
c
o
m
b
in
ed
with
r
ea
l
-
tim
e
s
em
a
n
tic
s
ea
r
ch
,
v
ec
to
r
-
b
ased
em
b
ed
d
in
g
s
,
a
n
d
a
d
ap
ti
v
e
lear
n
in
g
tech
n
iq
u
es,
th
ese
AI
s
o
lu
tio
n
s
en
h
a
n
ce
f
ac
t
u
al
a
cc
u
r
ac
y
,
c
o
n
tex
tu
al
r
elev
an
ce
,
a
n
d
u
s
ab
ilit
y
f
o
r
b
o
th
h
ea
lth
ca
r
e
p
r
o
f
ess
io
n
als
an
d
p
atien
ts
.
As
a
r
esu
lt,
th
e
h
ea
lth
ca
r
e
ec
o
s
y
s
tem
is
m
o
r
e
in
f
o
r
m
ed
,
ef
f
icien
t,
an
d
p
atien
t
-
ce
n
tr
ic,
with
AI
au
g
m
en
tin
g
clin
ical
ex
p
er
tis
e
wh
ile
also
em
p
o
wer
in
g
in
d
iv
id
u
als to
ac
tiv
ely
p
ar
ticip
ate
in
th
eir
ca
r
e.
E
nv
iro
nm
ent
a
l Mo
nito
ring
a
nd
Su
s
t
a
ina
ble D
ev
elo
pm
e
nt
AI
is
h
av
in
g
a
s
ig
n
if
ican
t
im
p
ac
t
o
n
en
v
ir
o
n
m
e
n
tal
m
an
a
g
em
en
t
a
n
d
s
u
s
tain
ab
le
d
ev
el
o
p
m
en
t
.
Acc
u
r
ate
p
r
e
d
ictio
n
a
n
d
c
o
n
ti
n
u
o
u
s
m
o
n
ito
r
i
n
g
o
f
ai
r
q
u
ality
,
wate
r
q
u
ality
,
a
n
d
ec
o
s
y
s
tem
h
ea
lth
a
r
e
cr
itical
f
o
r
p
r
o
tectin
g
p
u
b
lic
h
ea
lth
,
co
n
s
er
v
in
g
b
io
d
iv
er
s
ity
,
a
n
d
b
o
ls
ter
in
g
clim
ate
a
d
ap
tatio
n
s
tr
ateg
ies.
Ma
ch
in
e
lear
n
in
g
m
o
d
els,
s
u
ch
as
en
s
em
b
le
m
eth
o
d
s
,
b
o
o
s
tin
g
tech
n
iq
u
es,
an
d
h
y
b
r
id
a
p
p
r
o
ac
h
es,
o
f
f
er
s
ca
lab
le
an
d
co
m
p
u
tatio
n
ally
ef
f
icien
t
s
o
lu
tio
n
s
f
o
r
p
r
o
ce
s
s
in
g
c
o
m
p
le
x
,
h
eter
o
g
e
n
eo
u
s
e
n
v
ir
o
n
m
en
ta
l
d
ata.
AI
s
y
s
tem
s
ca
n
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n
c
o
v
er
h
id
d
en
p
atter
n
s
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tr
ac
k
tem
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o
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d
s
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an
d
p
r
o
v
id
e
ac
tio
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ab
le
in
s
ig
h
ts
f
o
r
p
o
licy
m
a
k
er
s
an
d
en
v
ir
o
n
m
en
tal
m
an
a
g
er
s
b
y
in
teg
r
atin
g
d
ata
s
tr
ea
m
s
f
r
o
m
m
u
ltip
le
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r
ce
s
,
r
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g
in
g
f
r
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m
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atellite
o
b
s
er
v
atio
n
s
to
g
r
o
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n
d
s
en
s
o
r
s
.
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f
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e,
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r
th
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im
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th
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o
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o
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r
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g
d
ec
is
i
o
n
s
,
an
d
clim
ate
a
d
ap
tatio
n
s
tr
ateg
ies p
r
io
r
to
im
p
lem
en
tatio
n
.
AI
ap
p
licatio
n
s
in
a
g
r
icu
ltu
r
e
h
av
e
a
s
tr
o
n
g
c
o
r
r
elatio
n
with
s
u
s
tain
ab
ilit
y
g
o
als,
p
r
o
m
o
tin
g
p
r
ec
is
io
n
f
a
r
m
in
g
an
d
r
eso
u
r
c
e
-
ef
f
icien
t
p
r
ac
tices.
Dis
ea
s
e
d
etec
tio
n
in
h
ig
h
-
v
al
u
e
cr
o
p
s
,
s
u
ch
as
h
o
m
-
th
o
n
g
b
an
an
as,
d
em
o
n
s
tr
ates
h
o
w
d
ee
p
lear
n
in
g
an
d
c
o
m
p
u
ter
v
is
io
n
alg
o
r
ith
m
s
ca
n
au
to
m
atica
l
ly
d
etec
t
in
f
ec
tio
n
s
an
d
o
th
er
s
tr
ess
f
ac
to
r
s
in
r
ea
l
tim
e.
Po
r
tab
le
AI
-
b
ased
m
o
n
ito
r
in
g
s
y
s
tem
s
p
r
o
v
id
e
f
ar
m
er
s
with
ac
tio
n
ab
le
in
s
ig
h
ts
to
r
ed
u
ce
cr
o
p
lo
s
s
es,
o
p
tim
is
e
ir
r
ig
atio
n
an
d
f
er
tili
s
atio
n
,
an
d
im
p
r
o
v
e
y
i
eld
q
u
ality
wh
ile
m
in
im
is
in
g
en
v
ir
o
n
m
e
n
tal
im
p
ac
t.
T
h
ese
AI
-
e
n
ab
led
in
ter
v
en
tio
n
s
n
o
t
o
n
ly
in
cr
ea
s
e
ec
o
n
o
m
ic
v
alu
e
b
u
t
also
s
tr
en
g
th
en
s
u
s
tain
ab
le
f
o
o
d
s
y
s
tem
s
,
im
p
r
o
v
e
r
eso
u
r
ce
m
an
ag
em
e
n
t,
an
d
s
u
p
p
o
r
t
g
lo
b
al
a
g
r
icu
ltu
r
al
co
m
p
etitiv
en
ess
in
th
e
f
ac
e
o
f
clim
ate
v
ar
iab
ilit
y
an
d
g
r
o
win
g
p
o
p
u
latio
n
d
em
an
d
s
.
I
nte
llig
ent
T
ra
n
s
po
rt
a
t
io
n a
nd
Sm
a
rt
M
o
bil
it
y
AI
tech
n
o
lo
g
ies
ar
e
d
r
iv
i
n
g
p
r
o
f
o
u
n
d
tr
a
n
s
f
o
r
m
atio
n
s
in
tr
a
n
s
p
o
r
t
n
etwo
r
k
s
,
r
esh
ap
in
g
h
o
w
u
r
b
an
an
d
in
ter
city
m
o
b
ilit
y
is
m
an
ag
ed
.
R
ea
l
-
tim
e
tr
af
f
ic
m
o
n
it
o
r
in
g
,
a
d
ap
tiv
e
r
o
u
tin
g
,
an
d
p
r
ed
ictiv
e
co
n
g
esti
o
n
m
an
ag
em
en
t
d
em
o
n
s
tr
ate
AI
'
s
ab
ilit
y
to
im
p
r
o
v
e
m
o
b
i
lity
,
r
ed
u
ce
t
r
av
el
d
ela
y
s
,
an
d
b
o
o
s
t
o
v
e
r
all
tr
an
s
p
o
r
tatio
n
s
af
ety
.
Ad
v
an
c
ed
o
b
ject
d
etec
tio
n
alg
o
r
ith
m
s
,
s
u
ch
as
YOL
Ov
1
0
,
e
n
ab
le
p
o
r
ta
b
le,
lo
w
-
c
o
s
t
tr
af
f
ic
m
o
n
ito
r
in
g
s
y
s
tem
s
ca
p
ab
le
o
f
ac
cu
r
ately
esti
m
atin
g
v
eh
icle
v
o
lu
m
e,
class
if
y
in
g
v
eh
icle
ty
p
es,
an
d
ca
lcu
latin
g
s
p
ee
d
in
r
ea
l
tim
e,
ev
en
in
e
n
v
ir
o
n
m
en
ts
with
li
m
ited
in
f
r
astru
ct
u
r
e
o
r
r
eso
u
r
ce
s
.
T
h
ese
s
y
s
tem
s
f
ac
ilit
ate
d
ata
-
d
r
iv
e
n
u
r
b
an
p
l
an
n
in
g
an
d
p
o
licy
d
ec
is
io
n
s
,
allo
win
g
m
u
n
icip
alities
to
o
p
tim
is
e
tr
af
f
ic
f
lo
w
an
d
p
r
i
o
r
itis
e
in
f
r
astru
ctu
r
e
i
n
v
estme
n
ts
.
T
r
u
s
t
-
b
ased
v
eh
icu
lar
n
etwo
r
k
s
an
d
in
tellig
en
t
tr
an
s
p
o
r
tati
o
n
s
y
s
tem
s
(
I
T
S)
b
r
o
ad
en
AI
'
s
im
p
ac
t
b
y
co
m
b
in
in
g
d
iv
er
s
e
d
ata
s
o
u
r
ce
s
,
s
u
ch
as
C
C
T
V
f
ee
d
s
,
tr
af
f
ic
s
en
s
o
r
s
,
an
d
I
o
V
telem
etr
y
,
to
o
p
tim
is
e
r
o
u
tin
g
,
p
r
ed
ict
c
o
n
g
esti
o
n
,
a
n
d
im
p
r
o
v
e
cy
b
er
s
ec
u
r
ity
.
Dy
n
am
ic
tr
af
f
ic
p
r
ed
ictio
n
m
o
d
e
ls
th
at
u
s
e
en
s
em
b
le
lear
n
in
g
,
co
m
b
i
n
ed
with
r
ein
f
o
r
ce
m
en
t
lear
n
in
g
-
b
ased
co
n
tr
o
ller
s
f
o
r
I
o
V
s
y
s
tem
s
,
en
s
u
r
e
s
ea
m
less
d
ata
tr
an
s
m
is
s
io
n
,
lo
w
laten
cy
,
a
n
d
r
elia
b
le
co
n
n
ec
tiv
ity
in
a
v
ar
iety
o
f
tr
af
f
ic
d
e
n
s
ities
an
d
e
n
v
ir
o
n
m
en
tal
co
n
d
itio
n
s
.
T
h
ese
AI
-
p
o
wer
e
d
s
o
lu
tio
n
s
im
p
r
o
v
e
p
r
o
ac
tiv
e
tr
af
f
ic
m
an
ag
e
m
en
t,
r
o
u
te
o
p
tim
is
atio
n
,
an
d
an
o
m
aly
d
etec
tio
n
,
allo
win
g
tr
an
s
p
o
r
tatio
n
au
th
o
r
ities
to
r
esp
o
n
d
q
u
ic
k
ly
t
o
u
n
ex
p
ec
t
ed
in
cid
e
n
ts
wh
ile
m
ain
tain
in
g
s
tr
o
n
g
n
etwo
r
k
p
e
r
f
o
r
m
a
n
ce
.
B
ey
o
n
d
o
p
er
atio
n
al
o
p
tim
is
atio
n
,
AI
h
elp
s
to
e
n
g
ag
e
a
n
d
e
d
u
ca
te
th
e
p
u
b
lic
ab
o
u
t
tr
an
s
p
o
r
tatio
n
.
Ser
io
u
s
g
am
es
an
d
s
im
u
latio
n
-
b
ased
p
latf
o
r
m
s
co
m
b
in
e
r
ea
l
-
wo
r
ld
tr
af
f
ic
d
ata
with
g
am
i
f
ied
ex
p
er
ie
n
ce
s
to
h
elp
co
m
m
u
ter
s
,
s
tu
d
en
ts
,
a
n
d
u
r
b
a
n
p
lan
n
er
s
u
n
d
er
s
tan
d
tr
af
f
ic
d
y
n
am
ics,
s
af
e
d
r
i
v
in
g
p
r
ac
tices,
an
d
m
o
b
ilit
y
'
s
en
v
ir
o
n
m
en
tal
im
p
ac
t.
T
h
ese
ap
p
licatio
n
s
u
s
e
p
r
ed
ictiv
e
an
aly
tics
an
d
in
te
r
ac
tiv
e
lear
n
in
g
to
im
p
r
o
v
e
s
itu
atio
n
al
awa
r
e
n
ess
wh
ile
also
en
co
u
r
ag
i
n
g
co
m
m
u
n
ity
p
ar
ticip
atio
n
an
d
b
eh
a
v
io
u
r
ch
a
n
g
e
to
war
d
s
af
er
,
s
m
ar
ter
,
an
d
m
o
r
e
s
u
s
ta
in
ab
le
m
o
b
ilit
y
s
y
s
tem
s
.
C
o
llectiv
ely
,
th
ese
a
d
v
an
ce
m
en
ts
d
em
o
n
s
tr
ate
h
o
w
AI
is
tr
an
s
f
o
r
m
in
g
tr
an
s
p
o
r
tatio
n
n
etwo
r
k
s
in
to
in
tellig
en
t,
a
d
ap
tiv
e,
an
d
r
esil
ien
t
s
y
s
tem
s
ca
p
ab
le
o
f
ad
d
r
ess
in
g
th
e
co
m
p
lex
ch
allen
g
es o
f
co
n
tem
p
o
r
ar
y
u
r
b
an
m
o
b
ilit
y
.
Securit
y
,
P
riv
a
cy
,
a
nd
T
rus
t
in AI Sy
s
t
em
s
As AI
s
y
s
tem
s
b
ec
o
m
e
m
o
r
e
p
r
ev
alen
t in
in
d
u
s
tr
ies an
d
d
ail
y
life
,
s
ec
u
r
ity
,
p
r
iv
ac
y
,
an
d
tr
u
s
t h
av
e
em
er
g
ed
as
cr
itical
co
n
ce
r
n
s
.
C
o
m
p
lex
in
f
r
astru
ctu
r
es,
s
u
c
h
as
in
d
u
s
tr
ial
I
o
T
(
I
I
o
T
)
n
et
wo
r
k
s
,
b
lo
c
k
ch
ain
-
en
ab
led
elec
tr
o
n
ic
h
ea
lth
r
ec
o
r
d
s
(
E
HR
s
)
,
an
d
in
tellig
en
t
v
eh
icu
lar
n
etwo
r
k
s
,
r
eq
u
ir
e
s
tr
o
n
g
s
af
eg
u
ar
d
s
to
p
r
o
tect
s
en
s
itiv
e
d
ata,
p
r
e
v
e
n
t
cy
b
e
r
attac
k
s
,
an
d
en
s
u
r
e
co
n
tin
u
o
u
s
,
d
ep
en
d
ab
le
o
p
er
atio
n
.
Ad
v
an
ce
d
en
s
em
b
le
tr
ee
-
b
ased
in
tr
u
s
i
o
n
d
etec
tio
n
s
y
s
tem
s
,
b
lo
c
k
ch
ain
-
in
teg
r
ated
h
ea
lth
ca
r
e
d
ata
m
a
n
ag
em
en
t
p
latf
o
r
m
s
,
a
n
d
tr
u
s
t
-
b
ased
v
eh
icu
lar
f
r
am
ewo
r
k
s
s
h
o
w
t
h
at
AI
ca
n
im
p
r
o
v
e
cy
b
er
s
e
cu
r
ity
,
e
n
f
o
r
ce
d
ata
in
teg
r
ity
,
an
d
m
ain
tain
h
ig
h
s
y
s
tem
p
er
f
o
r
m
a
n
ce
ev
en
in
d
y
n
am
ic
an
d
h
ig
h
-
r
is
k
en
v
ir
o
n
m
en
ts
.
Fu
r
th
er
m
o
r
e,
th
ese
s
o
lu
tio
n
s
ca
n
s
ca
le
ef
f
i
cien
tly
,
m
ak
in
g
th
e
m
id
ea
l
f
o
r
lar
g
e,
h
eter
o
g
en
e
o
u
s
n
etw
o
r
k
s
r
eq
u
ir
i
n
g
r
ap
i
d
an
o
m
aly
d
etec
tio
n
an
d
r
ea
l
-
ti
m
e
d
ec
is
io
n
-
m
ak
i
n
g
.
E
x
p
lain
ab
le
AI
(
XAI
)
tech
n
iq
u
es,
s
u
ch
as
Sh
ap
ley
ad
d
i
tiv
e
ex
p
lan
atio
n
s
(
SHAP)
a
n
d
lo
ca
l
in
ter
p
r
etab
le
m
o
d
el
-
a
g
n
o
s
tic
ex
p
lan
atio
n
s
(
L
I
ME
)
,
in
cr
e
ase
m
o
d
el
p
r
ed
ictio
n
s
'
tr
an
s
p
ar
en
cy
,
p
r
o
m
o
tin
g
ac
co
u
n
tab
ilit
y
,
u
s
er
co
n
f
id
en
ce
,
an
d
r
eg
u
lato
r
y
co
m
p
lian
c
e.
T
h
is
in
ter
p
r
etab
ilit
y
is
esp
ec
ially
im
p
o
r
tan
t
in
h
ig
h
-
r
is
k
d
o
m
ain
s
lik
e
h
ea
lth
ca
r
e,
f
i
n
an
ce
,
tr
an
s
p
o
r
tatio
n
,
an
d
p
u
b
lic
s
af
ety
,
wh
er
e
in
co
r
r
ec
t
o
r
o
p
aq
u
e
AI
d
ec
is
io
n
s
ca
n
r
esu
lt
i
n
s
ig
n
if
i
ca
n
t
h
ar
m
o
r
liab
ilit
y
.
B
y
in
co
r
p
o
r
atin
g
i
n
ter
p
r
etab
ilit
y
in
to
AI
f
r
am
ewo
r
k
s
,
r
esear
ch
er
s
an
d
p
r
ac
titi
o
n
er
s
en
s
u
r
e
th
at
in
tellig
en
t
s
y
s
tem
s
ar
e
n
o
t
o
n
ly
p
er
f
o
r
m
a
n
t
b
u
t
also
eth
ically
Evaluation Warning : The document was created with Spire.PDF for Python.
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I
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t J Ar
tif
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tell
,
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l.
15
,
No
.
1
,
Feb
r
u
ar
y
2
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2
6
:
1
0
1
9
-
1
022
1022
r
esp
o
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u
s
er
tr
u
s
t.
T
h
e
co
m
b
i
n
atio
n
o
f
s
tr
o
n
g
s
ec
u
r
ity
ar
ch
itectu
r
es
an
d
tr
an
s
p
ar
e
n
t
AI
m
o
d
els
r
ep
r
esen
ts
a
co
m
p
r
eh
en
s
iv
e
ap
p
r
o
ac
h
to
s
af
e,
r
e
liab
le,
an
d
s
ca
lab
le
AI
d
ep
lo
y
m
en
t in
c
r
itical
s
ec
to
r
s
.
M
et
ho
do
lo
g
ica
l A
dv
a
ncem
e
nts a
nd
H
y
brid AI A
pp
ro
a
ches
AI
m
eth
o
d
o
lo
g
ies
ar
e
r
ap
i
d
ly
ev
o
lv
in
g
,
p
u
s
h
in
g
t
h
e
b
o
u
n
d
ar
ies
o
f
wh
at
is
p
o
s
s
ib
le
ac
r
o
s
s
m
u
ltip
le
d
o
m
ain
s
.
Ad
v
an
ce
d
f
ea
tu
r
e
s
elec
tio
n
tech
n
iq
u
es,
m
u
tu
al
in
f
o
r
m
atio
n
-
b
ased
d
ata
e
x
p
lo
r
atio
n
,
e
n
s
em
b
le
lear
n
in
g
,
v
is
io
n
tr
an
s
f
o
r
m
er
s
,
o
p
tim
is
atio
n
alg
o
r
ith
m
s
,
an
d
k
n
o
wled
g
e
d
is
till
atio
n
m
eth
o
d
s
all
im
p
r
o
v
e
p
r
ed
ictiv
e
p
er
f
o
r
m
an
ce
wh
ile
also
in
cr
ea
s
in
g
co
m
p
u
tatio
n
al
ef
f
icien
cy
an
d
m
o
d
el
r
o
b
u
s
tn
ess
.
Hy
b
r
id
AI
s
y
s
tem
s
th
at
co
m
b
in
e
s
y
m
b
o
lic
r
ea
s
o
n
in
g
,
s
tatis
tical
lear
n
in
g
,
an
d
r
ein
f
o
r
ce
m
en
t
lear
n
in
g
ar
e
b
ec
o
m
in
g
m
o
r
e
ca
p
ab
le
o
f
a
d
ap
tin
g
t
o
d
y
n
a
m
ic
en
v
ir
o
n
m
en
ts
an
d
g
en
er
alis
in
g
ac
r
o
s
s
d
iv
er
s
e
d
atasets
,
b
r
id
g
in
g
t
h
e
g
ap
b
etwe
en
th
eo
r
etica
l r
esear
ch
a
n
d
p
r
ac
tical
ap
p
licatio
n
in
r
ea
l
-
wo
r
ld
s
ettin
g
s
.
R
ein
f
o
r
ce
m
en
t
lear
n
i
n
g
a
n
d
g
r
ap
h
-
b
ased
s
tr
ateg
ies,
f
o
r
ex
am
p
le,
o
p
tim
is
e
h
u
b
lo
c
atio
n
s
in
s
ca
lab
le
b
lo
ck
ch
ain
n
etwo
r
k
s
,
lo
wer
in
g
n
etwo
r
k
laten
cy
an
d
im
p
r
o
v
in
g
o
v
e
r
all
tr
an
s
ac
tio
n
ef
f
icien
cy
.
Hy
b
r
id
n
eu
r
al
ar
ch
itectu
r
es,
s
u
ch
as
s
elec
tiv
e
k
er
n
el
n
etwo
r
k
s
co
m
b
in
ed
with
Ar
cFac
e
lo
s
s
,
im
p
r
o
v
e
h
u
m
a
n
ac
tiv
ity
r
ec
o
g
n
itio
n
ac
r
o
s
s
m
u
lti
-
v
iew
an
d
m
u
lti
-
m
o
d
al
d
atasets
,
wh
er
ea
s
s
o
p
h
is
ticated
g
en
er
ativ
e
ad
v
er
s
ar
ial
n
etwo
r
k
s
(
GANs)
o
p
tim
is
ed
b
y
m
etah
eu
r
is
tic
alg
o
r
ith
m
s
allo
w
f
o
r
p
r
ec
is
e
s
eg
m
en
tatio
n
a
n
d
class
if
icatio
n
o
f
m
ed
ical
an
d
s
atellite
im
ag
er
y
.
T
h
ese
in
n
o
v
atio
n
s
d
em
o
n
s
tr
at
e
m
o
d
er
n
A
I
'
s
v
er
s
atili
ty
,
ad
ap
tab
ilit
y
,
an
d
cr
o
s
s
-
s
ec
to
r
ap
p
licab
ilit
y
,
em
p
h
asis
in
g
its
ab
ilit
y
to
tack
le
co
m
p
lex
p
r
o
b
lem
s
in
h
ea
lth
ca
r
e
,
c
y
b
er
s
ec
u
r
ity
,
s
m
ar
t
in
f
r
astru
ctu
r
e,
an
d
b
ey
o
n
d
,
wh
ile
also
ex
p
an
d
i
n
g
th
e
m
e
th
o
d
o
lo
g
ical
to
o
lk
it
a
v
ailab
le
to
r
esear
ch
er
s
a
n
d
p
r
ac
titi
o
n
er
s
.
F
uture
T
re
nd
s
:
T
he
Nex
t
5
–
1
0
Yea
rs
L
o
o
k
in
g
ah
ea
d
,
ar
tific
ial
in
tel
lig
en
ce
is
ex
p
ec
ted
to
u
n
d
e
r
g
o
s
ig
n
if
ican
t
tr
a
n
s
f
o
r
m
atio
n
s
o
v
er
th
e
n
ex
t
f
i
v
e
to
ten
y
ea
r
s
,
o
win
g
t
o
ad
v
an
ce
s
in
co
m
p
u
tin
g
p
o
w
er
,
d
ata
av
ailab
ilit
y
,
an
d
alg
o
r
ith
m
ic
in
n
o
v
atio
n
.
E
d
g
e
an
d
o
n
-
d
ev
ice
AI
will
b
e
wid
ely
ad
o
p
te
d
,
en
ab
lin
g
lo
w
-
laten
cy
,
p
r
iv
ac
y
-
p
r
ese
r
v
in
g
in
f
e
r
en
ce
in
h
ea
lth
ca
r
e,
in
d
u
s
tr
ial
m
o
n
ito
r
in
g
,
s
elf
-
d
r
iv
i
n
g
ca
r
s
,
an
d
s
m
ar
t
cities.
R
ea
l
-
tim
e
d
ec
is
io
n
-
m
ak
in
g
o
n
d
ev
ice
s
r
ed
u
ce
s
r
elian
ce
o
n
ce
n
tr
alis
ed
clo
u
d
s
y
s
tem
s
,
im
p
r
o
v
es
s
y
s
tem
r
esil
ien
ce
,
an
d
en
ab
les
ap
p
licatio
n
s
wh
er
e
n
etwo
r
k
co
n
n
ec
tiv
ity
is
lim
ite
d
o
r
in
ter
m
itten
t.
At
th
e
s
am
e
tim
e,
h
y
b
r
id
AI
s
y
s
tem
s
th
at
co
m
b
in
e
s
y
m
b
o
lic
r
ea
s
o
n
in
g
,
n
eu
r
al
n
etwo
r
k
s
,
a
n
d
r
ein
f
o
r
ce
m
e
n
t
lear
n
i
n
g
wi
ll
b
ec
o
m
e
m
o
r
e
s
o
p
h
is
ticated
,
p
r
o
v
id
in
g
b
etter
g
en
er
alis
atio
n
,
in
ter
p
r
etab
ilit
y
,
an
d
ad
ap
ta
b
ilit
y
in
c
o
m
p
le
x
an
d
d
y
n
am
ic
d
o
m
ain
s
r
an
g
in
g
f
r
o
m
p
r
ec
is
io
n
m
ed
icin
e
to
in
tellig
en
t
tr
a
n
s
p
o
r
tatio
n
a
n
d
b
ey
o
n
d
.
T
h
ese
s
y
s
tem
s
will
b
e
ab
le
to
lear
n
f
r
o
m
s
p
a
r
s
e
d
ata,
m
an
ag
e
u
n
ce
r
tain
t
y
,
a
n
d
r
e
aso
n
ac
r
o
s
s
m
u
ltip
le
m
o
d
a
liti
es,
b
r
id
g
in
g
th
e
g
ap
b
e
twee
n
h
u
m
a
n
-
lik
e
co
m
p
r
eh
e
n
s
io
n
an
d
co
m
p
u
tati
o
n
al
ef
f
icien
c
y
.
E
th
ical,
leg
al,
an
d
s
o
cieta
l
co
n
s
id
er
atio
n
s
will
p
lay
a
cr
itical
r
o
le
in
s
h
ap
in
g
AI
d
ev
el
o
p
m
en
t,
en
s
u
r
in
g
th
at
tr
an
s
p
ar
en
c
y
,
ac
co
u
n
tab
ilit
y
,
f
air
n
ess
,
an
d
in
cl
u
s
iv
ity
ar
e
b
u
ilt
in
to
d
ec
is
io
n
-
m
ak
in
g
p
r
o
ce
s
s
es.
E
x
p
lain
ab
le
AI
f
r
am
ewo
r
k
s
,
co
m
b
i
n
ed
with
s
tan
d
ar
d
is
ed
r
e
g
u
lato
r
y
an
d
g
o
v
e
r
n
an
ce
p
r
o
t
o
co
ls
,
will
b
e
cr
itical
in
h
ig
h
-
r
is
k
a
p
p
licatio
n
s
lik
e
h
ea
lth
ca
r
e,
f
in
a
n
ce
,
an
d
p
u
b
lic
s
af
ety
.
T
h
e
r
is
e
o
f
m
u
ltimo
d
al
AI
,
wh
ich
ca
n
in
teg
r
ate
v
is
u
al,
tex
tu
al,
a
u
d
ito
r
y
,
an
d
s
en
s
o
r
in
p
u
ts
,
will a
llo
w
f
o
r
m
o
r
e
h
o
lis
tic
p
er
ce
p
tio
n
,
an
aly
s
is
,
an
d
p
r
ed
ictio
n
ca
p
ab
ilit
ies,
im
p
r
o
v
in
g
b
o
th
h
u
m
an
-
c
o
m
p
u
te
r
in
ter
ac
tio
n
an
d
f
u
lly
a
u
to
m
ate
d
d
ec
is
io
n
m
ak
in
g
.
Fu
r
th
er
m
o
r
e
,
AI
'
s
co
llab
o
r
atio
n
with
em
er
g
in
g
tech
n
o
lo
g
ies,
s
u
ch
as
b
ig
d
ata
an
aly
tics
,
q
u
an
tu
m
co
m
p
u
tin
g
,
an
d
n
e
x
t
-
g
en
e
r
atio
n
co
m
m
u
n
icatio
n
s
lik
e
5
G
an
d
6
G,
will
s
ig
n
if
ican
tly
in
cr
ea
s
e
s
ca
lab
ilit
y
,
co
m
p
u
tatio
n
al
ef
f
icien
cy
,
an
d
s
y
s
tem
r
esil
ien
ce
,
ac
ce
ler
atin
g
in
tellig
en
t
s
o
lu
tio
n
s
in
in
d
u
s
tr
ial,
en
v
ir
o
n
m
en
tal,
an
d
s
o
cieta
l
d
o
m
ain
s
.
T
o
g
et
h
er
,
th
ese
tr
en
d
s
p
o
in
t
to
a
f
u
tu
r
e
in
wh
ich
AI
n
o
t
o
n
ly
a
u
g
m
en
ts
h
u
m
an
ca
p
ab
ilit
ies,
b
u
t
also
b
ec
o
m
es a
n
in
d
is
p
en
s
ab
le,
tr
u
s
two
r
th
y
,
an
d
et
h
ical
p
ar
tn
e
r
i
n
ad
d
r
ess
in
g
c
o
m
p
lex
g
lo
b
al
i
s
s
u
es.
Co
nclus
io
n:
T
o
wa
rd
s
a
F
uture
o
f
E
t
hica
l a
nd
I
m
pa
ct
f
ul
AI
T
h
is
is
s
u
e
f
ea
tu
r
es
AI
r
e
s
ea
r
ch
f
r
o
m
p
r
ac
tical
ap
p
licatio
n
s
to
th
eo
r
etica
l
b
r
ea
k
th
r
o
u
g
h
s
an
d
cr
o
s
s
-
d
is
cip
lin
ar
y
co
llab
o
r
ati
o
n
s
th
at
p
u
s
h
in
tellig
en
t
s
y
s
tem
s
'
l
im
its
.
T
h
e
f
ea
tu
r
ed
s
tu
d
ies
s
h
o
w
h
o
w
tech
n
ical
cr
ea
tiv
ity
,
r
ig
o
r
o
u
s
m
eth
o
d
o
l
o
g
y
,
a
n
d
h
y
b
r
i
d
AI
ap
p
r
o
ac
h
es
ca
n
s
o
lv
e
co
m
p
lex
,
r
e
al
-
wo
r
ld
p
r
o
b
lem
s
in
h
ea
lth
ca
r
e,
en
v
ir
o
n
m
e
n
tal
m
an
ag
em
en
t,
tr
an
s
p
o
r
tatio
n
,
ag
r
icu
ltu
r
e,
s
ec
u
r
ity
,
an
d
in
tellig
e
n
t
in
f
r
astru
ctu
r
e.
T
o
cr
ea
te
tr
u
s
two
r
th
y
,
in
clu
s
iv
e,
an
d
h
u
m
a
n
-
v
alu
e
d
AI
s
y
s
tem
s
,
eth
ical
r
e
s
p
o
n
s
ib
ilit
y
,
tr
an
s
p
ar
en
cy
,
in
ter
p
r
etab
ilit
y
,
an
d
s
o
cieta
l
im
p
ac
t
m
u
s
t
b
e
co
n
s
id
er
ed
b
ey
o
n
d
p
er
f
o
r
m
a
n
ce
an
d
ef
f
i
cien
cy
.
C
o
m
b
in
i
n
g
ad
v
an
ce
d
co
m
p
u
tatio
n
al
tech
n
iq
u
es
with
f
air
n
ess
,
ac
co
u
n
t
ab
ilit
y
,
an
d
u
s
er
-
ce
n
tr
ic
d
esig
n
,
AI
ca
n
im
p
r
o
v
e
q
u
ality
o
f
life
,
s
u
p
p
o
r
t
s
u
s
tain
ab
le
d
ev
elo
p
m
en
t,
an
d
ad
d
r
ess
g
lo
b
al
is
s
u
es
l
ik
e
p
u
b
lic
h
ea
lth
cr
is
es
an
d
clim
ate
ad
ap
tatio
n
.
T
h
is
is
s
u
e
r
ec
o
g
n
is
es
th
e
p
r
o
g
r
ess
m
ad
e
an
d
t
h
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